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Volumn 11, Issue 4, 2004, Pages 373-382

Prediction of grinding power and surface finish - A GA-fuzzy approach

Author keywords

[No Author keywords available]

Indexed keywords

DATA ACQUISITION; FUZZY CONTROL; FUZZY SETS; GENETIC ALGORITHMS; MATHEMATICAL MODELS; NEURAL NETWORKS;

EID: 10044219757     PISSN: 10692509     EISSN: None     Source Type: Journal    
DOI: 10.3233/ica-2004-11407     Document Type: Article
Times cited : (5)

References (20)
  • 1
    • 2342559525 scopus 로고
    • Society of Manufacturing Engineers, Marketing Service Dept., One SME Drive, Michigan 48128, USA
    • C. Bhateja and R. Lindsay, Grinding Theory Techniques and Troubleshooting, Society of Manufacturing Engineers, Marketing Service Dept., One SME Drive, Michigan 48128, USA, 1982.
    • (1982) Grinding Theory Techniques and Troubleshooting
    • Bhateja, C.1    Lindsay, R.2
  • 10
    • 0026224528 scopus 로고
    • Optimal selection of grinding parameters using process modelling and knowledge based system approach
    • P.S. Midha, C.B. Zhu and G.J. Trmal, Optimal selection of grinding parameters using process modelling and knowledge based system approach, Journal of Materials Processing Technology 28 (1991), 189-198.
    • (1991) Journal of Materials Processing Technology , vol.28 , pp. 189-198
    • Midha, P.S.1    Zhu, C.B.2    Trmal, G.J.3
  • 13
    • 0028735718 scopus 로고
    • Application of artificial intelligence in grinding
    • W.B. Rowe, L. Yan, L. Inasaki and S. Malkin, Application of artificial intelligence in grinding, Annals of the CIRP 43(2) (1994), 521-531.
    • (1994) Annals of the CIRP , vol.43 , Issue.2 , pp. 521-531
    • Rowe, W.B.1    Yan, L.2    Inasaki, L.3    Malkin, S.4
  • 14
    • 0027190234 scopus 로고
    • Intelligent base for grinding operations
    • M. Sakakura and I. Inasaki, Intelligent base for grinding operations, Annals of the CIRP 42(1) (1993), 379-382.
    • (1993) Annals of the CIRP , vol.42 , Issue.1 , pp. 379-382
    • Sakakura, M.1    Inasaki, I.2
  • 15
    • 0026938576 scopus 로고
    • Neural network modeling and multi-objective optimization of creep feed grinding of super alloys
    • G. Sathyanarayanan, L.J. Lin and M.K. Chen, Neural network modeling and multi-objective optimization of creep feed grinding of super alloys, International Journal of Production Research 30(10) (1992), 2421-2438.
    • (1992) International Journal of Production Research , vol.30 , Issue.10 , pp. 2421-2438
    • Sathyanarayanan, G.1    Lin, L.J.2    Chen, M.K.3
  • 18
    • 0018105794 scopus 로고
    • Influence of work material on grinding forces
    • G. Werner, W. Koenig and T.H. Aachen, Influence of work material on grinding forces, Annals of the CIRP 27(1) (1978), 243-248.
    • (1978) Annals of the CIRP , vol.27 , Issue.1 , pp. 243-248
    • Werner, G.1    Koenig, W.2    Aachen, T.H.3
  • 19
    • 0027544296 scopus 로고
    • A dynamic modelling approach to computer aided optimum selection of grinding parameters
    • C.B. Zhu, P.S. Midha and G.J. Trmal, A dynamic modelling approach to computer aided optimum selection of grinding parameters, Journal of Materials Processing Technology 38 (1993), 227-246.
    • (1993) Journal of Materials Processing Technology , vol.38 , pp. 227-246
    • Zhu, C.B.1    Midha, P.S.2    Trmal, G.J.3
  • 20
    • 0008655981 scopus 로고    scopus 로고
    • Grinding mode identification and surface quality prediction using neural network in grinding of silicon nitride
    • N. Zouaghi, Y. Ichida and N. Zouaghi, Grinding mode identification and surface quality prediction using neural network in grinding of silicon nitride, International Journal of the Japan Society for Precision Engineering 30(1) (1996), 35-40.
    • (1996) International Journal of the Japan Society for Precision Engineering , vol.30 , Issue.1 , pp. 35-40
    • Zouaghi, N.1    Ichida, Y.2    Zouaghi, N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.